Papers

Disentangled Representations for Arabic Dialect Identification based on Supervised Clustering with Triplet Loss

International Conference
2021~
작성자
한혜원
작성일
2021-08-30 14:38
조회
1714
Authors : Zainab Alhakeem, Yoohwan Kwon, Hong-Goo Kang

Year : 2021

Publisher / Conference : EUSIPCO

Research area : Speech Signal Processing, 기타

In this paper, we propose a novel supervised clustering with triplet (SCT) loss that effectively learns disentangled representations for Arabic dialect identification (ADI). To improve the performance of ADI using latent representation-based approaches, we need to extract embeddings that include only dialect related information by dissociating all the irrelevant information such as gender, channel, and speaker. In consideration of the embedding-level distribution, our proposed SCT loss minimizes intra-class variations and maximizes inter-class variations. Specifically, it uses the centroid of each dialect as a triplet component, thereby avoiding the issue of choosing an undesirable triplet component due to random sampling. Experimental results on the ADI-17 dataset show that our proposed method significantly outperforms conventional state-of-the-art methods in terms of the identification accuracy.
전체 355
355 International Conference Hyewon Han, Naveen Kumar "A cross-talk robust multichannel VAD model for multiparty agent interactions trained using synthetic re-recordings" in Hands-free Speech Communication and Microphone Arrays (HSCMA), 2024
354 International Conference Yanjue Song, Doyeon Kim, Nilesh Madhu, Hong-Goo Kang "On the Disentanglement and Robustness of Self-Supervised Speech Representations" in International Conference on Electronics, Information, and Communication (ICEIC) (*awarded Best Paper), 2024
353 International Conference Yeona Hong, Miseul Kim, Woo-Jin Chung, Hong-Goo Kang "Contextual Learning for Missing Speech Automatic Speech Recognition" in International Conference on Electronics, Information, and Communication (ICEIC), 2024
352 International Conference Juhwan Yoon, Seyun Um, Woo-Jin Chung, Hong-Goo Kang "SC-ERM: Speaker-Centric Learning for Speech Emotion Recognition" in International Conference on Electronics, Information, and Communication (ICEIC), 2024
351 International Conference Hejung Yang, Hong-Goo Kang "ON FINE-TUNING PRE-TRAINED SPEECH MODELS WITH EMA-TARGET SELF-SUPERVISED LOSS" in ICASSP, 2024
350 International Journal Zainab Alhakeem, Se-In Jang, Hong-Goo Kang "Disentangled Representations in Local-Global Contexts for Arabic Dialect Identification" in Transactions on Audio, Speech, and Language Processing, 2024
349 International Conference Hong-Goo Kang, W. Bastiaan Kleijn, Jan Skoglund, Michael Chinen "Convolutional Transformer for Neural Speech Coding" in Audio Engineering Society Convention, 2023
348 International Conference Hong-Goo Kang, Jan Skoglund, W. Bastiaan Kleijn, Andrew Storus, Hengchin Yeh "A High-Rate Extension to Soundstream" in IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2023
347 International Conference Zhenyu Piao, Hyungseob Lim, Miseul Kim, Hong-goo Kang "PDF-NET: Pitch-adaptive Dynamic Filter Network for Intra-gender Speaker Verification" in APSIPA ASC, 2023
346 International Conference WooSeok Ko, Seyun Um, Zhenyu Piao, Hong-goo Kang "Consideration of Varying Training Lengths for Short-Duration Speaker Verification" in APSIPA ASC, 2023